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Pregled bibliografske jedinice broj: 829645

Časopis

Autori: Beliga, Slobodan; Meštrović, Ana; Martinčić- Ipšić, Sanda
Naslov: Selectivity-Based Keyword Extraction Method
Izvornik: International journal on semantic web and information systems (1552-6283) 12 (2016), 3; 1-26
Vrsta rada: članak
Ključne riječi: Centrality Measures ; Complex Network ; Generalized Selectivity ; Graph-Based Keyword Extraction ; Keyword Expansion ; Keyword Extraction ; Keyword Ranking ; Selectivity
Sažetak:
In this work the authors propose a novel Selectivity-Based Keyword Extraction (SBKE) method, which extracts keywords from the source text represented as a network. The node selectivity value is calculated from a weighted network as the average weight distributed on the links of a single node and is used in the procedure of keyword candidate ranking and extraction. The authors show that selectivity- based keyword extraction slightly outperforms an extraction based on the standard centrality measures: in/out-degree, betweenness and closeness. Therefore, they include selectivity and its modification – generalized selectivity as node centrality measures in the SBKE method. Selectivity-based extraction does not require linguistic knowledge as it is derived purely from statistical and structural information of the network. The experimental results point out that selectivity-based keyword extraction has a great potential for the collection-oriented keyword extraction task.
Izvorni jezik: ENG
Rad je indeksiran u
bazama podataka:
Current Contents Connect (CCC)
Scopus
SCI-EXP, SSCI i/ili A&HCI
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo,Informacijske i komunikacijske znanosti
Broj citata:
Altmetric:
DOI: 10.4018/IJSWIS.2016070101
URL cjelovitog teksta:
Google Scholar: Selectivity-Based Keyword Extraction Method
Upisao u CROSBI: Slobodan Beliga (sbeliga@inf.uniri.hr), 16. Kol. 2016. u 13:02 sati



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